Instructions to use anon-bmvc/RZNMed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use anon-bmvc/RZNMed with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("anon-bmvc/RZNMed", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from anon-bmvc/RZNMed: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/anon-bmvc/RZNMed/resolve/main/tokenizer.json
- Command line
-
hf download hf://anon-bmvc/RZNMed/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/anon-bmvc/RZNMed/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- a7030cf2e58dead38199a68a8cd6f6f1a609a6072d7fb38ba5f85b3bb7e21557
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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